Honeycomb
[Installation]
Put all files somewhere on your MATLAB path. At least, honeycomb.m and the private directory (with contents) should be in the same directory on the MATLAB path.
[Documentation]
Run help honeycomb or doc honeycomb for instructions.
[Example]
The following code produces the image seen on this page.
x = randn(100);
y = rand(size(x));
figure
honeycomb(x, y)
colorbar
title 'Honeycomb plot of uniform vs. normal random data'
[Credits]
The files that inspired this file are listed on this page, but do not contain the same functionality due to different use cases or bugs. Therefore I developed my own implementation of the hexagonal scatter plot. Other sources include:
http://bioconductor.org/packages/2.0/bioc/html/hexbin.html (hexbin for R)
http://dx.doi.org/10.1213/ane.0000000000001665 (scientific article using honeycomb plots, you may not have access to the journal)
[Version]
The true version of this release is 0.1 (as per GitHub), but the File Exchange does not allow version numbers lower than 1.x. Therefore, I've set the version to 1.0.0.1. Future updates will bump the number to be identical on both File Exchange and GitHub.
引用格式
Erik (2024). Honeycomb (https://github.com/erikhuizinga/honeycomb), GitHub. 检索来源 .
MATLAB 版本兼容性
平台兼容性
Windows macOS Linux类别
- AI, Data Science, and Statistics > Deep Learning Toolbox > Function Approximation, Clustering, and Control > Function Approximation and Clustering > Clustering >
标签
致谢
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!.test
private
无法下载基于 GitHub 默认分支的版本
版本 | 已发布 | 发行说明 | |
---|---|---|---|
1.0.0.1 |
|